The use of t-SNE for dimensionality reduction and K-means for clustering provides an effective solution for multi-attribute optimization. The experiments compared the non-weighted topology knapsack ...

Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack problem. A 0/1 ...

This is an implementation of the 0-1 knapsack problem in C using a recursive approach. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight ...

Solving Knapsack problem with both Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) with results comparison, using MATLAB. I created a graphic interface to make it easy to use and ...

How the Mathematical Conundrum Called the ‘Knapsack Problem’ Is All Around Us A litany of issues in business, finance, container ship loading and aircraft loading derive from this one simple ...

AUTHORS: Quan Yuan, Zhixin Yang KEYWORDS: Weight-Coding, Evolutionary Algorithm, Multidimensional Knapsack Problem (MKP) JOURNAL NAME: Advances in Pure Mathematics, Vol.6 No.10, September 19, 2016 ...